To make it simple, chatbots are automated programs that can simulate conversations with people to answer queries and to execute specific task requests. This technology is called Artificial Intelligence (AI). AI is the ability of machines or computers to imitate human thinking or decision making. Chatbots have been around for quite a while now, but the real progress is their new capacity to adapt to the customer through the Machine Learning (ML) process. The way people interact with AI is going to define a new social norm.

In the spring of 2016, Dr. Jianxiong Xiao -- affectionately known among students and staff as "Professor X" -- said goodbye to his plum professorship at Princeton and his post as the founding director of the school's Computer Vision and Robotics Labs. By the fall of that same year, Xiao, known as something of a risk-taker, had moved himself and his family from New Jersey to Silicon Valley, and raised some modest seed funding for his new startup focused on self-driving cars. His startup, dubbed AutoX, has done its best to stay under the radar to date -- apart from a filing with the California DMV to test self-driving vehicles. The filing officially put the professor's mysterious startup in the company of giants, such as Tesla, Waymo (formerly the Google self-driving car project), Uber, and numerous other big auto companies testing self-driving cars. But Xiao isn't worried about getting run over by the giants, saying that his small team of academics possesses the kind of expertise in computer vision that big corporations just can't match.

Inside this Business Group The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs.

In early February, Target stunned its employees when it announced it was shutting down it's store of the future, before it was even opened. With Amazon's December announcement of Amazon Go, new technology for their mini-grocery stores will require substantially less employees to run and automate check-out. Grab and go shopping really is the advent of the Internet of things in retail with a few twists. We can think of it as mobile-centric Just Walk Out Technology, as Amazon has branded it. So what makes it possible?

The Lambda DevBox Black gives your team four NVIDIA's Pascal GPUs at a significantly reduced price point.4x NVIDIA GTX 1080 ti 11GB GPUs (Pascal) 64 GB of DDR4 System Memory Intel Core i7-6850K 40 PCI-e lane hexacore processor Comes pre-installed with TensorFlow, CUDA, CuDNN, Caffe, and Torch.

Medical supplies and equipment based on artificial intelligence (AI) and robotic technology will dominate the global health care sector in the future, industry watchers said Sunday. The remarks were made during the Korea International Medical Clinical Laboratories and Hospital Equipment Show (KIMES) at the Convention and Exhibition Center (COEX) in southern Seoul where nearly 1,300 medical instrument manufacturers from both home and abroad showcased their latest medical technologies and products. The annual event, the 33rd of its kind, is hosted by the Ministry of Health and Welfare. The ministry said the goal of the event is to navigate the future of the global health care industry, which is largely seen as the next new growth engine. Global IT giant IBM Corp. showcased its AI-based supercomputer called "Watson" that can diagnose and treat cancer, one of the leading causes of the death in the world.

In 1991, as an undergrad, I wrote a paper on social cybernetics and its role in robotics. Out of curiosity, I just did a quick Google search on social cybernetics and found this article comparing and contrasting AI and the study of cybernetics. In 2017, as a VC, I'm still fascinated by the topic of melding human interactions and feedback mechanisms with the latest advances in technology. I learned early in my career that technology itself doesn't solve problems – it is the applications of technology that solve problems. We've seen progressions of smarter machines over the years.

The rise of AI and machine learning is impacting every sector, not just in terms of the marketing tools that exist to reach consumers with the right messages at the right time, but in the very products that brands can offer to their audience. From automated chatbots to intelligent recommendation engines, AI is enabling brands to personalise the products in new and exciting ways. One of the latest firms to take advantage of this technology is P&G skincare brand Olay, which has recently expanded its Olay Skin Advisor service to customers worldwide. The AI-powered platform is designed to help women better understand their skin, and find the products best-suited to their personal skincare needs. Mobile Marketing Magazine spoke to Dr. Frauke Neuser, principal scientist at Olay, about what led the brand to embracing AI. "What people don't realise is we have a lot of expertise and a lot of data in the area of imaging, both image capture and image analysis, and that's one of the core elements of the Olay Skin Advisor," said Dr. Neuser.

In "The First International Beauty Contest Judged by Artificial Intelligence," a robot board judged faces, in light of "algorithms that can precisely assess the criteria connected to perception of human beauty and health," as per the contest's site. In any case, by failing to supply the AI with a diverse training set, the contest winners were all white.

The drones fell out of the sky over China Lake, California, like a colony of bats fleeing a cave in the night. Over 100 of them dropped from the bellies of three Boeing F/A-18 Super Hornet fighter jets, their sharp angles cutting across the clear blue sky. As they encircled their target, the mechanical whir of their flight sounded like screaming. This was the world's largest micro-drone swarm test. Conducted in October 2016 by the Department of Defense's Strategic Capabilities Office and the Navy's Air Systems Command, the test was the latest step in what could be termed a swarm-drone arms race.